code: def test_tensorflow_fused_batch_norm(
      *,
      dtypes_args,
      test_flags,
      frontend,
      backend_fw,
      fn_tree,
      on_device,
  ):
      (
          dtypes,
          x,
          epsilon,
          factor,
          training,
          data_format,
          vectors,
      ) = dtypes_args
      helpers.test_frontend_function(
          input_dtypes=dtypes,
          backend_to_test=backend_fw,
          test_flags=test_flags,
          frontend=frontend,
          fn_tree=fn_tree,
          on_device=on_device,
          atol=1e-02,
          x=x[0],
          scale=vectors[0],
          offset=vectors[1],
          mean=vectors[2],
          variance=vectors[3],
          epsilon=epsilon,
          data_format=data_format,
          is_training=training,
          exponential_avg_factor=factor,
      )
  
file_path: ivy/ivy_tests/test_ivy/test_frontends/test_tensorflow/test_compat/test_v1/test_nn.py
imports: from hypothesis import strategies
  import numpy
  import ivy_tests.test_ivy.helpers
  from ivy_tests.test_ivy.helpers import handle_frontend_test
  from ivy_tests.test_ivy.test_frontends.test_tensorflow.test_nn import _x_and_filters
label_desc: Use image node_id 3 for calling a global function with example usage: test_tensorflow_fused_batch_norm() without return types